The Anti-Agency for E-commerce Intelligence

Unlike traditional agencies building dependency through retainers, Tasman marks its success by making clients self-sufficient through knowledge transfer and senior fractional team.

Key Benefits:

1. Business-first approach – Start with the decision and then build infrastructure for answers.
2. Sprint-based pricing – 3-week sprints with concrete deliverables. No billable-hour games.
3. Stack agnostic – Work with existing platforms or recommend best solutions without forced migrations.
4. Knowledge transfer – Complete documentation, training, and handover for independence.

What sets us apart is that out success metric is complete client self-sufficiency after 4-8 months, not ongoing dependency, replacing 15+ hours weekly manual work with automatic reporting enabling faster decision-making with real-time analytics.

E-commerce Pattern Library (2024) Codified common data challenges into reusable frameworks: multi-touch attribution for €20K-€200K+ monthly spend across channels, unified customer architectures for omnichannel retailers, demand forecasting for 100-1000+ SKUs, unit economics calculators for acquisition/fulfillment/returns, returns analysis by product and channel.

Cuts delivery time 40% while maintaining customization.

Decision-First Sprint Framework Begin with business decision mapping: which decisions can't executives make that cost money? Shapes priorities ensuring 3-week sprints deliver working capabilities, not just infrastructure.

Fractional Data Team Model Function as fractional data teams for scale-ups not ready to hire internally. Senior expertise on-demand while building internal capability for transition.

While not e-commerce specific, these two case studies reflect what we do for our e-commerce clients perfectly. The challenges are identical: complex monetization, multi-channel revenue, investor pressure, pricing optimization.

PhotoRoom (€43M Series B) Fast-growth app that needed Tasman to build data infrastructure foundations to answer investor questions, optimize pricing across tiers, measure feature impact, understand revenue split, and attract senior hires.

https://www.tasman.ai/success-stories/data-foundations-for-43m-post-series-b-investor-reporting

SeatFrog: RAG Agent Demonstrates strategic partnership. While our clients focus on day-to-day operations, we build parallel innovations providing competitive advantage and accelerating growth without losing core focus.

https://www.tasman.ai/success-stories/rag-agent-for-seatfrog-customer-support

https://www.tasman.ai/